Product Engineer (Mid - Staff Level)

📍London/ Hybrid £40,000 - £135,000 + shares + share options up to £80,000 +

Benefits We’re hiring at all levels. We’re less concerned about your years of experience and more focused on your competency as a product-focused engineer. 💬 Accurx is where conversations happen with and about patients. For decades, the NHS has struggled with fragmented systems that make simple tasks feel impossible. We’re changing that by building a single, system-wide platform that connects everyone through communication. What started as a way for GPs to text a patient has now evolved into an all-in-one digital toolkit used by 98% of GP practices. Our platform now powers Total Triage to manage patient demand, and Self-Book , which lets patients schedule their own appointments in seconds. We’ve automated routine care with Patient Questionnaires for long-term conditions, while Accumail finally allows staff-to-staff communication to happen instantly across different care settings. We’re now pushing the boundaries of the consultation itself with Accurx Scribe , our AI-powered note-taker that drafts medical notes in real-time.

The team Our engineers have sat in GP waiting rooms. They've watched practice managers juggle three systems at once to send a single message to a patient. They build for that person. What sets our Product Engineers apart is that they own the problem, not just the code. They shape what gets built and how - working with Product, Design and Clinical from the earliest stages - and they stay with the systems they build as they evolve. They bring engineering judgment into product decisions, and product thinking into engineering ones. Our stack is primarily C# on the backend, TypeScript and React on the frontend, running on Azure. ML/AI work uses Python. We don't expect you to know all of it - we expect you to follow a problem wherever it leads. What you'll be doing Owning features end-to-end: from refining the problem with clinicians and product managers through to architecture, implementation, rollout, and long-term evolution Engaging directly with NHS GPs, practice staff and patients to build a genuine understanding of the problems you're solving — research sessions, visiting practices Designing architecture and API boundaries with the broader system in mind, not just the immediate surface Holding the quality bar for what you ship: not just that the code works, but that the product is reliable, intuitive and safe in a clinical context Making the architectural calls that keep our codebase sustainable — improving system health alongside shipping features, not instead of it Pushing back constructively when something is wrong, and committing fully when a decision has been made What experience you need to be successful Comfortable building production software across the stack - you might be strongest in backend or frontend, but you can follow a problem across both to own a feature end-to-end Proven ability to reason about systems - breaking ambiguous problems into tractable pieces, spotting trade-offs and second-order effects before they become incidents Comfortable with ambiguity and early-stage problem definition; you shape the work rather than wait for a finished spec You treat engineering quality as part of the job - managing technical debt pragmatically, reviewing AI-generated output critically, and pushing for the right architectural decisions under real constraints Curiosity about AI tools and how they change the way you work, with the judgment to know when to rely on them and when not to What we’re looking for to demonstrate as a Product Engineer at Accurx You start from the user problem, not the technology. You know what to build, what not to build, and why. In the AI era, that also means knowing what to delegate, what needs human judgment, and what shouldn't exist at all. You can break ambiguous problems into tractable pieces and see how those pieces connect across boundaries. You spot seams, trade-offs, and second-order effects — thinking both from big to small and small to big. You can pick up unfamiliar code, systems, and assess AI-generated output. You spot flaws before being told, and you understand why something is wrong. You have strong expertise in at least one area and can use it to build, debug, and improve real systems effectively. You know what “great” looks like in your domain and can reliably get there. You own outcomes, not just tasks. You influence across teams, navigate disagreement to reach the right answer, own your mistakes, and push hard for the wins that matter. You actively experiment with AI tools to push the boundaries of what's possible today, with the scepticism to avoid overhyping what they can do. You're actively learning and experimenting with AI tools, pushing the boundary of what's possible today, with the healthy scepticism that keeps you from overhyping what they can do. What’s in it for me? You'll be joining an established but fast-growing Tech for Good movement, where we're led by our Principles and our mission to fix healthcare communication. £40,000 - £135,000 salary + share options up to £80,000